A PARALLEL MAPPING OF OPTICAL FLOW TO COMPUTE UNIFIED DEVICE ARCHITECTURE FOR MOTION-BASED IMAGE SEGMENTATION

被引：3
|
作者：
Kuchnio, Peter [1 ]
Capson, David W. [1 ]
机构：
[1] McMaster Univ, Dept Elect & Comp Engn, Hamilton, ON L8S 4L8, Canada
来源：
2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6 | 2009年
关键词：
CUDA; Parallel Optical Flow Algorithm; Motion-based Image Segmentation;
D O I：
10.1109/ICIP.2009.5414402
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A correlation-based optical flow algorithm using Compute Unified Device Architecture (CUDA) technology to achieve fast motion-based image segmentation is described. Using CUDA, a 240 processor GPU implementation of an optimized correlation-based optical flow algorithm allows segmentation to be achieved at high frame rates on high-resolution video sequences. Details of the mapping of the optical flow segmentation algorithm onto the CUDA architecture as well as performance results are given. The performance of the algorithm is further characterized as a function of the search and correlation window radii.
引用
收藏
页码：2325 / 2328
页数：4
相关论文
共 50 条
  • [31] Frame-Based Parallelization of MPEG-4 on Compute Unified Device Architecture (CUDA)
    Ailawadi, Dishant
    Mohapatra, Milan Kumar
    Mittal, Ankush
    2010 IEEE 2ND INTERNATIONAL ADVANCE COMPUTING CONFERENCE, 2010, : 267 - 272
  • [32] Compute unified device architecture (CUDA)-based parallelization of WRF Kessler cloud microphysics scheme
    Mielikainen, Jarno
    Huang, Bormin
    Wang, Jun
    Huang, H-L. Allen
    Goldberg, Mitchell D.
    COMPUTERS & GEOSCIENCES, 2013, 52 : 292 - 299
  • [33] Computer Vision and Image Segmentation Implemented on GPU Using Compute Unified Device Architecture as Applied on Quality Inspection of Pre-etched Printed Circuit Board
    Astillo, Philip Virgil
    Patiluna, Van
    WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE, WCECS 2012, VOL I, 2012, : 609 - 614
  • [34] Optimization of compute unified device architecture for real-time ultrahigh-resolution optical coherence tomography
    Kim, Ji-hyun
    Aum, Jaehong
    Han, Jae-Ho
    Jeong, Jichai
    OPTICS COMMUNICATIONS, 2015, 334 : 308 - 313
  • [35] Detection of moving objects using observer motion-based optical flow estimation
    Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Yokohama, 226-8502, Japan
    不详
    不详
    Systems and Computers in Japan, 2002, 33 (06) : 83 - 92
  • [36] Motion-based analysis and segmentation of image sequences using 3-D scene models
    Steinbach, E
    Eisert, P
    Girod, B
    SIGNAL PROCESSING, 1998, 66 (02) : 233 - 247
  • [37] Investigating the use of motion-based features from optical flow for gait recognition
    Mahfouf, Zohra
    Merouani, Hayet Farida
    Bouchrika, Imed
    Harrati, Nouzha
    NEUROCOMPUTING, 2018, 283 : 140 - 149
  • [38] Joint space-time motion-based segmentation of image sequences with level set PDES
    Mansouri, AR
    Mitiche, A
    Langevin, C
    IEEE WORKSHOP ON MOTION AND VIDEO COMPUTING (MOTION 2002), PROCEEDINGS, 2002, : 50 - 55
  • [39] On the use of motion-based frame rejection in temporal averaging denoising for segmentation of echocardiographic image sequences
    dos Reis, Maria do Carmo
    Carvalho, Joao L. A.
    Macchiavello, Bruno L.
    Vasconcelos, Daniel F.
    da Rocha, Adson F.
    Nascimento, Francisco A. O.
    Camapum, Juliana F.
    2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20, 2009, : 507 - +
  • [40] Acceleration Method of 3D Medical Images Registration Based on Compute Unified Device Architecture
    Lu, Meng
    BIO-MEDICAL MATERIALS AND ENGINEERING, 2014, 24 (01) : 1109 - 1116
12345